Hewlett-Packard HP Z640 Workstation
Geekbench AI Score
3739
Single Precision Score
3775
Half Precision Score
2678
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 03 2025 10:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z640 Workstation |
| Motherboard | Hewlett-Packard 212A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
1482
275.7 IPS |
|
|
Image Classification (Q)
|
99% |
1213
226.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13605
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12832
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11611
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1902
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
83% |
1517
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2602
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7069
54.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5476
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23182
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22932
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19172
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
619
829.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2100
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
901
16.9 IPS |
